Fatigue stress estimation of offshore wind turbine using a Kalman filter in combination with accelerometers

被引：0

作者：

Noppe, N. ^{[1
]}

Tatsis, K. ^{[2
]}

Chatzi, E. ^{[2
]}

Devriendt, C. ^{[1
]}

Weijtjens, W. ^{[1
]}

机构：

[1] Vrije Univ Brussel, Dept Mech Engn, Acoust & Vibrat Grp, Pl Laan 2, B-1050 Brussels, Belgium

[2] Swiss Fed Inst Technol, Inst Struct Engn, Stefano Franscini Pl 5, CH-8093 Zurich, Switzerland

来源：

PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2018) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2018) | 2018年

基金：

欧洲研究理事会;

关键词：

D O I：

暂无

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

An accurate stress or strain history at fatigue critical locations is often needed for a fatigue assessment. Unfortunately it is not feasible to install strain gauges as these fatigue hotspots. This contribution compares two techniques to obtain a reliable stress history at any location of the turbine structure, one is based on modal decomposition and expansion, the other is based on a Kalman filter. Both techniques will be validated and compared using data from an offshore wind turbine monitored by OWI-lab. The monitored turbine is instrumented with strain gauges at the interface between transition piece and tower and accelerometers at multiple levels. The installed strain gauges allow to validate the proposed techniques with respect to the reality.

引用

页码：4847 / 4855

页数：9

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